Artificial intelligence applied to support medical decisions for the automatic analysis of echocardiogram images: A systematic review
VS de Siqueira, MM Borges, RG Furtado… - Artificial intelligence in …, 2021 - Elsevier
The echocardiogram is a test that is widely used in Heart Disease Diagnoses. However, its
analysis is largely dependent on the physician's experience. In this regard, artificial …
analysis is largely dependent on the physician's experience. In this regard, artificial …
A review of medical diagnostic video analysis using deep learning techniques
The automated analysis of medical diagnostic videos, such as ultrasound and endoscopy,
provides significant benefits in clinical practice by improving the efficiency and accuracy of …
provides significant benefits in clinical practice by improving the efficiency and accuracy of …
Deep learning based aortic valve detection and state classification on echocardiographies
CA Hatfaludi, CF Ciusdel, A Toma… - 2022 IEEE 20th …, 2022 - ieeexplore.ieee.org
Accurate assessment of the severity of aortic stenosis is essential for optimal therapeutic
decision making. Echocardiography is the main imaging method used to assess the aortic …
decision making. Echocardiography is the main imaging method used to assess the aortic …
Fetal heart and descending aorta detection in four-Chamber View of fetal Echocardiography
S An, J Lv, H Zhu, J Wang, X Zhou, Q Liu… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
Automatic analysis of fetal heart and related components in fetal echocardiography can help
cardiologists to reach a diagnosis for Congenital Heart Disease (CHD). Previous studies …
cardiologists to reach a diagnosis for Congenital Heart Disease (CHD). Previous studies …
Machine learning applied to support medical decision in transthoracic echocardiogram exams: a systematic review
VS de Siqueira, D de Castro Rodrigues… - 2020 IEEE 44th …, 2020 - ieeexplore.ieee.org
The echocardiogram (ECHO) is an ultrasound of the heart used to diagnose heart diseases
(DHC). The analysis and interpretation of ECHO are dependent on the doctor's experience …
(DHC). The analysis and interpretation of ECHO are dependent on the doctor's experience …
Automatic aortic valve area detection in echocardiography images using convolutional neural networks and U-net architecture for bicuspid aortic valve recognition
K Giannakaki, K Moirogiorgou… - … on Imaging Systems …, 2021 - ieeexplore.ieee.org
Automatic methods for heart disease recognition are a promising asset in precise diagnosis
and prevention of complications. Regarding bicuspid aortic valve, for which this field is still …
and prevention of complications. Regarding bicuspid aortic valve, for which this field is still …
[PDF][PDF] A survey on the role of deep learning in 2d transthoracic echocardiography
V Chandra, V Singh, PG Sarkar - Int. J. Sci. Technol. Res, 2020 - academia.edu
Deep learning technology is currently a most effective choice for medical image analysis,
due to revolution in it, cardiovascular imaging has changed rapidly with huge impact. This …
due to revolution in it, cardiovascular imaging has changed rapidly with huge impact. This …
Aortic Valve Localisation in 3D Transesophageal Echocardiography Volumes using Deep Learning
KF Obrestad - 2022 - ntnuopen.ntnu.no
Intraoperativ bildetagning av hjertet og bruken av hybride operasjonsstuer for
hjerteoperasjoner, blir stadig vanligere. 3D transøsofageal ekkokardiografi (TEE) gir kirurger …
hjerteoperasjoner, blir stadig vanligere. 3D transøsofageal ekkokardiografi (TEE) gir kirurger …
[PDF][PDF] Mitral stenosis detection using Deep Learning technique in PSAX view TTE
V Chandra, PG Sarkar, V Singh - jcdronline.org
The goal of this research is to identify abnormality automatically in the mitral valve, stenosis,
or normal in parasternal short-axis view (PSAX). one of the common and widely spread …
or normal in parasternal short-axis view (PSAX). one of the common and widely spread …